We build and launch digital products end to end: from discovery and UX to engineering, integrations, AI, ML and post-launch improvement.
Beyond software delivery, we help companies apply AI and build ML systems where they create measurable business value.
We design and build B2B platforms, portals, internal systems, mobile apps and products with complex business logic.
We connect CRMs, ERPs, payments, marketplaces, warehouse systems, analytics and internal tools into one working product loop.
We embed AI into existing workflows: document processing, internal assistants, support, knowledge search and routine automation.
We design ML systems for search, recommendations, ranking, forecasting and data workflows — and take models into production.
These projects need more than development. They need product logic, user roles, integrations, workflows and a stable launch process.
A platform integrated with multiple marketplaces. We created a single workspace for different requirements, data formats, publishing statuses and checks.
A full product for a fuel station network: user journeys, bonus mechanics, campaigns, personal accounts, integrations and operating rules for 99 stations.
A service that brings booking, client and specialist accounts, scheduling, roles, privacy and internal video sessions into one product flow.
We helped rebuild search in a large digital service: data science, ML models, result ranking, user behavior analysis and product integration.
The work was done together with the client’s internal team — from experiment design to production rollout.
We start by understanding the problem, assemble the right team, move in short cycles and help the product reach stable operation.
Sometimes a product needs to be built from scratch. Sometimes it needs to be relaunched. Sometimes the internal team needs senior support.
We study the problem, define goals, constraints, users and the project context.
We assemble the specialists needed for the task and set up the working process.
We work in short cycles, show progress regularly and adjust decisions as the product evolves.
We help the product reach stable operation and keep improving after release.
We join when several moving parts need to become one working digital product — quickly and responsibly.
There is an idea, market opportunity or internal need, but no complete team or clear launch plan yet.
The project needs a new pace, rebuilt logic, architecture, interfaces or delivery process.
Contractors, internal roles and separate product parts need to be connected into one understandable operating model.
A legacy system slows growth. Architecture, data, interfaces or integrations need to be modernized without breaking operations.
Users, roles, integrations and processes are growing, and the architecture needs a more systematic approach.
The client already has people and context, but needs more product, technical or delivery capacity.
AI needs to be embedded into a product, support flow, document process, internal tool or operational workflow.
Search, recommendations, ranking, forecasting or custom models need to work inside the product — not just in a notebook.
We connect CRMs, ERPs, payment systems, marketplaces, warehouses, mobile apps and analytics tools so they work as one product system.
Centrida does not join with a fixed team. We bring the roles the product needs at each specific stage.
We can own the full product loop or embed into the client’s team as CTO, analyst, product lead, UX, architect, QA or engineering support.
The team composition changes across the project: from discovery and architecture to engineering, launch and growth.
Product goal, priorities, roadmap and connection to business outcomes.
Requirements, processes, user roles, data and system logic.
Architecture, integrations, technical decisions and collaboration with the client’s engineering team.
User journeys, prototypes, interfaces and design system.
Server-side logic, APIs, data and integrations.
Web interfaces, portals and operational tools.
Mobile apps and connected user journeys.
Testing, quality, acceptance and launch readiness.
Infrastructure, deployment, monitoring and stability.
LLMs, AI assistants, document processing, workflow automation and AI integration into products.
Search, recommendations, ranking, forecasting, data, experiments and ML in production.
Planning, timelines, communication and synchronization between the team and the client.
We build digital products. Integrations, AI and Machine Learning are tools we use when they help the product work better.
We do not implement boxed CRM, ERP or vendor systems by manual. We join when a digital product must be designed and built end to end: scenarios, roles, integrations and launch.
We do not sell individual developers by the hour. For each challenge, we assemble the roles needed and stay accountable for the product outcome.
We first understand the workflow and business economics. If AI can truly speed up work or reduce costs, we integrate it into the product.
We cover the full path: data, experiments, model training, product integration, monitoring and post-launch improvement.
We do not try to do everything for everyone. Each project gets its own team — only the specialists the specific challenge actually needs.